Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Length Controlled Generation for Black-box LLMs
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.14656.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:04.110426Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T00:18:43.787081Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0a1bbbcf-23ea-4ed9-9ec2-9ab31402e39f · inbound
LIFEBench: Evaluating Length Instruction Following in Large Language Models cites this paper.
LIFEBench: Evaluating Length Instruction Following in Large Language Models Length Controlled Generation for Black-box LLMs
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:04.110426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ee05182-8ac4-4bb4-889e-3061842e2f99 · inbound
Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation cites this paper.
Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation Length Controlled Generation for Black-box LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:18:43.789918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2ac7b93c-3c5d-4858-85e7-87d89e588f8d · inbound
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling cites this paper.
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling Length Controlled Generation for Black-box LLMs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:31:26.115532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 45c48c4c-0fcf-41b7-b899-9bc77ee71dfa · inbound
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling cites this paper.
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling Length Controlled Generation for Black-box LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:28:11.601906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.